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WISA
2007
Springer

Detecting Motifs in System Call Sequences

10 years 6 months ago
Detecting Motifs in System Call Sequences
The search for patterns or motifs in data represents an area of key interest to many researchers. In this paper we present the Motif Tracking Algorithm, a novel immune inspired pattern identification tool that is able to identify unknown motifs which repeat within time series data. The power of the algorithm is derived from its use of a small number of parameters with minimal assumptions. The algorithm searches from a completely neutral perspective that is independent of the data being analysed and the underlying motifs. In this paper the motif tracking algorithm is applied to the search for patterns within sequences of low level system calls between the Linux kernel and the operating system’s user space. The MTA is able to compress data found in large system call data sets to a limited number of motifs which summarise that data. The motifs provide a resource from which a profile of executed processes can be built. The potential for these profiles and new implications for security...
William O. Wilson, Jan Feyereisl, Uwe Aickelin
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where WISA
Authors William O. Wilson, Jan Feyereisl, Uwe Aickelin
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